In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
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Decision trees plus AI equal discovery of boron metastable phases
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
Preventing performance decline in Li-ion cells with ether electrolyte
In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
Decision trees plus AI equal discovery of boron metastable phases
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
Preventing performance decline in Li-ion cells with ether electrolyte
In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
Decision trees plus AI equal discovery of boron metastable phases
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
Preventing performance decline in Li-ion cells with ether electrolyte
In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
Decision trees plus AI equal discovery of boron metastable phases
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
Preventing performance decline in Li-ion cells with ether electrolyte
In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
Decision trees plus AI equal discovery of boron metastable phases
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
